Acceleration Statistics of Inertial Particles from High Resolution DNS Turbulence View Full Text


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

2008

AUTHORS

Federico Toschi , Jeremie Bec , Luca Biferale , Guido Boffetta , Antonio Celani , Massimo Cencini , Alessandra S. Lanotte , Stefano Musacchio

ABSTRACT

We present results from recent direct numerical simulations of heavy particle transport in homogeneous, isotropic, fully developed turbulence, with grid resolution up to 5123 and Rλ ≈ 185. By following the trajectories of millions of particles with different Stokes numbers, St ∈ [0.16 : 3.5], we are able to characterize in full detail the statistics of particle acceleration. We focus on the probability density function of the normalised acceleration a/arms and on the behaviour of their rootmean-squared acceleration arms as a function of both St and Rλ. We explain our findings in terms of two concurrent mechanisms: particle clustering, very effective for small St, and filtering induced by finite particle response time, taking over at larger St. More... »

PAGES

73-78

Book

TITLE

IUTAM Symposium on Computational Physics and New Perspectives in Turbulence

ISBN

978-1-4020-6471-5
978-1-4020-6472-2

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-1-4020-6472-2_11

DOI

http://dx.doi.org/10.1007/978-1-4020-6472-2_11

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1028999545


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151 rdf:type schema:Organization
 




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